This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-18 Creation time: 20-14-40 --- Number of references 5 inproceedings 2020_gleim_factdag_provenance 2020 11 1 2821 53-58 To foster data sharing and reuse across organizational boundaries, provenance tracking is of vital importance for the establishment of trust and accountability, especially in industrial applications, but often neglected due to associated overhead. The abstract FactDAG data interoperability model strives to address this challenge by simplifying the creation of provenance-linked knowledge graphs of revisioned (and thus immutable) resources. However, to date, it lacks a practical provenance implementation. In this work, we present a concrete alignment of all roles and relations in the FactDAG model to the W3C PROV provenance standard, allowing future software implementations to directly produce standard-compliant provenance information. Maintaining compatibility with existing PROV tooling, an implementation of this mapping will pave the way for practical FactDAG implementations and deployments, improving trust and accountability for Open Data through simplified provenance management. Provenance; Data Lineage; Open Data; Semantic Web Technologies; Ontology Alignment; PROV; RDF; Industry 4.0; Internet of Production; IIoT internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-factdag-provenance.pdf CEUR Workshop Proceedings Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW '20), co-located with the 19th International Semantic Web Conference (ISWC '20), November 1-6, 2020, Athens, Greece, Athens, Greece November 1-6, 2020 1613-0073 1 LarsGleim LiamTirpitz JanPennekamp StefanDecker inproceedings 2020-kirchhof-wowmom-ccncps 2020 8 31 internet-of-production, reflexes https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-kirchhof-wireless-mac-improvements.pdf IEEE Computer Society online International Symposium on a World of Wireless, Mobile and Multimedia Networks: Workshop on Communication, Computing, and Networking in Cyber Physical Systems (WoWMoM-CCNCPS'2020), August 31 - September 3, 2020, Cork, Ireland Cork, Ireland August 31 - September 3, 2020 10.1109/WoWMoM49955.2020.00068 1 Jörg ChristianKirchhof MartinSerror RenéGlebke KlausWehrle inproceedings 2020-serror-networking-qwin 2020 6 21 consent https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-serror-qwin.pdf https://ieeexplore.ieee.org/abstract/document/9142792 IFIP online Proceedings of the 19th IFIP Networking 2020 Conference (NETWORKING '20), June 22-26, 2020, Paris, France Paris, France IFIP NETWORKING Conference June 22-26, 2020 978-3-903176-28-7 1 MartinSerror EricWagner RenéGlebke KlausWehrle inproceedings 2020-mann-ur-weldseamstudy 2020 6 https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-mann-weld-seam-geometry-control.pdf Proceedings of the 2020 Internal Conference on Ubiquitous Robots Internal Conference on Ubiquitous Robots June 22-26, 2020 10.1109/UR49135.2020.9144839 1 SamuelMann RenéGlebke IkeKunze DominikScheurenberg RahulSharma UweReisgen KlausWehrle DirkAbel article 2020_gleim_factDAG IEEE Internet of Things Journal 2020 4 14 7 4 3243-3253 In the production industry, the volume, variety and velocity of data as well as the number of deployed protocols increase exponentially due to the influences of IoT advances. While hundreds of isolated solutions exist to utilize this data, e.g., optimizing processes or monitoring machine conditions, the lack of a unified data handling and exchange mechanism hinders the implementation of approaches to improve the quality of decisions and processes in such an interconnected environment. The vision of an Internet of Production promises the establishment of a Worldwide Lab, where data from every process in the network can be utilized, even interorganizational and across domains. While numerous existing approaches consider interoperability from an interface and communication system perspective, fundamental questions of data and information interoperability remain insufficiently addressed. In this paper, we identify ten key issues, derived from three distinctive real-world use cases, that hinder large-scale data interoperability for industrial processes. Based on these issues we derive a set of five key requirements for future (IoT) data layers, building upon the FAIR data principles. We propose to address them by creating FactDAG, a conceptual data layer model for maintaining a provenance-based, directed acyclic graph of facts, inspired by successful distributed version-control and collaboration systems. Eventually, such a standardization should greatly shape the future of interoperability in an interconnected production industry. Data Management; Data Versioning; Interoperability; Industrial Internet of Things; Worldwide Lab internet-of-production https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-iotj-iop-interoperability.pdf IEEE 2327-4662 10.1109/JIOT.2020.2966402 1 LarsGleim JanPennekamp MartinLiebenberg MelanieBuchsbaum PhilippNiemietz SimonKnape AlexanderEpple SimonStorms DanielTrauth ThomasBergs ChristianBrecher StefanDecker GerhardLakemeyer KlausWehrle